Generalized Linear Model (GLM) is a more generic framework that supports statistical analysis with some sort of linear formation of a model. You can think that GLM is like an upper class of linear regression and logistic regression. These regressions are special cases of GLM. In GLM, your model should look like below.

Generalized Linear Model (GLM) is a more generic framework that supports statistical analysis with some sort of linear formation of a model. You can think that GLM is like an upper class of linear regression and logistic regression. These regressions are special cases of GLM. In GLM, your model should look like below.

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[[http://​www.stat.columbia.edu/​~gelman/​arm/​|Data Analysis Using Regression and Multilevel/​Hierarchical Models by Andrew Gelman and Jennifer Hill.]]

[[http://​www.stat.columbia.edu/​~gelman/​arm/​|Data Analysis Using Regression and Multilevel/​Hierarchical Models by Andrew Gelman and Jennifer Hill.]]

It is the best book I have read about regression analysis (well, I haven'​t read that many books, but I'm sure this is an excellent book).

It is the best book I have read about regression analysis (well, I haven'​t read that many books, but I'm sure this is an excellent book).